# What are w and b parameters in SVM?

I've read almost every article on the web, every question regarding SVM here, but I still don't get how to calculate w and b, how did they appear in formula, what is weight and what is bias:

$$\vec{w} \cdot \vec{x} - b = 0$$

Please explain in simple words/examples/numbers how to calculate b and w

$$w\cdot x - b = 0$$, equivalently $$w \cdot x = b$$ is the equation of the separating hyperplane.
$$w$$ is the normal direction of the plane and $$b$$ is a form of threshold.
Given a data point $$w$$, if $$w \cdot x$$ is evaluated to to be bigger than $$b$$, it belongs to a class. If it is evaluated to be less than $$b$$, then it belongs to another class.